DIFFERENT APPLICATION AREAS OF OBJECT DETECTION WITH DEEP LEARNING

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dc.contributor.authorTuran, Sevcan
dc.contributor.authorMilani, Bahar
dc.contributor.authorTemurtaş, Feyzullah
dc.date.accessioned2025-01-27T19:36:50Z
dc.date.available2025-01-27T19:36:50Z
dc.date.issued2021
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractAutomation is spread in all daily life and business activities to facilitate human life and working conditions. Robots, automated cars, unmanned vehicles, robot arms, automated factories etc.are getting place in our lives. For these automated actors, one important task is recognizing objects and obstacles in the target environment. Object detection, determining the objects and their location in the environment, is one of the most important solution for this task. With deep learning techniques like Convolutional Neural Network and GPU processing, object detection has become more accurate and faster, and getting attention of researchers. In recent years, many articles about object detection algorithms and usage of object detection have been published. There are surveys about the object detection algorithms, but they have introduced algorithms and focused on common application areas. With this survey, we aim to show that object detection algorithms have very large and different application area. In this study, we have given a brief introduction to deep learning. We have then focused on standard object detection algorithms based on deep learning and their applications in different research areas in recent years to give an idea for future works. Also, the datasets and evaluation metrics used in the research are listed.
dc.identifier.doi10.51513/jitsa.957371
dc.identifier.endpage164
dc.identifier.issn2636-820X
dc.identifier.issue2
dc.identifier.startpage148
dc.identifier.trdizinid495317
dc.identifier.urihttps://doi.org/10.51513/jitsa.957371
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/495317
dc.identifier.urihttps://hdl.handle.net/20.500.12428/17007
dc.identifier.volume4
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofAkıllı Ulaşım Sistemleri ve Uygulamaları Dergisi (Online)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TRD_20250125
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.titleDIFFERENT APPLICATION AREAS OF OBJECT DETECTION WITH DEEP LEARNING
dc.typeReview Article

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